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    • Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020

    Metadata Updated: October 15, 2024

    This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date October 15, 2024
    Metadata Updated Date October 15, 2024

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Annual average terrestrial net ecosystem exchange (NEE) and direct fire emissions from 2002-2020 showing areas with net CO2 sinks (i.e. areas taking up CO2 from the atmosphere) and net CO2 sources (i.e. releasing net CO2 emissions to the atmosphere) (Virkkala et al., 2024).

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date October 15, 2024
    Metadata Updated Date October 15, 2024
    Publisher ORNL_DAAC
    Maintainer
    Identifier C3261062541-ORNL_CLOUD
    Data First Published 2024-10-08
    Language en-US
    Data Last Modified 2024-10-09
    Category ABoVE, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Virkkala, A-M., B.M. Rogers, J.D. Watts, K. Arndt, S. Potter, I. Wargowsky, and S. Natali. 2024. Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2377
    Graphic Preview Description Annual average terrestrial net ecosystem exchange (NEE) and direct fire emissions from 2002-2020 showing areas with net CO2 sinks (i.e. areas taking up CO2 from the atmosphere) and net CO2 sources (i.e. releasing net CO2 emissions to the atmosphere) (Virkkala et al., 2024).
    Graphic Preview File https://daac.ornl.gov/ABOVE/guides/CO2Fluxes_Arctic_Boreal_Domain_Fig1.jpg
    Harvest Object Id 64fe7752-1d35-477f-a848-a0c7d4e42c73
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2377
    Metadata Type geospatial
    Old Spatial -180.0 33.68 180.0 90.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 055860b345673fd49b2c42d43a02e340409ceab031fe58959beadba95f50c9ef
    Source Schema Version 1.1
    Spatial
    Temporal 2001-01-01T00:00:00Z/2020-12-31T23:59:59Z

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